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Re:Generative Adversarial Networks Code in PyTorch and Tenso... by rasmi on Friday January 05, 2018 @06:39PM (#16082752)
Take a look at TFGAN -- it might make these implementations much easier!

https://research.googleblog.com/2017/12/tfgan-lightweight-li...

https://github.com/tensorflow/tensorflow/tree/master/tensorf...

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Re:Generative Adversarial Networks Code in PyTorch and Tenso... by diegoalejogm on Friday January 05, 2018 @06:56PM (#16082836)
It looks awesome, thanks!

The idea of this library is to show the inner workings of the GANs as they’re publicized in the papers, but I will definitely make some examples with TFGANs in the future for broader exposition. ;)

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Re:Generative Adversarial Networks Code in PyTorch and Tenso... by diegoalejogm on Friday January 05, 2018 @02:13PM (#16080823)
More models coming soon! :)
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Re:Generative Adversarial Networks Code in PyTorch and Tenso... by alextp on Friday January 05, 2018 @05:23PM (#16082286)
Cool! Did you try using tensorflow's eager execution?
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Re:Generative Adversarial Networks Code in PyTorch and Tenso... by baristaGeek on Friday January 05, 2018 @05:43PM (#16082425)
I've read a little bit about it. I think it would be a good idea since we don't need to run the subgraphs on parallel or something like that, therefore eliminating the need for a TF session per se.

I'll be helping Diego with some new models, it'd be awesome if you join :)

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Re:Generative Adversarial Networks Code in PyTorch and Tenso... by diegoalejogm on Friday January 05, 2018 @05:30PM (#16082338)
That’s the next step, after implementing more GAN papers. If you’re up to it, you’re very welcome to contribute with that. :)
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